Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:44:19.505685Z
Paper Citation Record · LEDGER
Exploiting Curvature in Online Convex Optimization with Delayed Feedback
As of 20 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2506.07595.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
19 of 19 outbound references displayed
- verified exact2
- verified fuzzy9
- unresolved8
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e6b075b6-55f0-4875-9a04-d846a04d4470 · outbound
This paper cites Observe that, given such a bound on the cheating term, we now have to consider three different terms as shown in Equation (17).
Exploiting Curvature in Online Convex Optimization with Delayed Feedback Observe that, given such a bound on the cheating term, we now have to consider three different terms as shown in Equation (17)
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:44:22.834877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c26026a7-eb87-4944-85e9-e815186e5bc7 · outbound
This paper cites Then, we have ∥z1 −z 2∥2 A1 +∥z 1 −z 2∥2 A2 ≤ ⟨w1 −w 2, z2 −z 1⟩+ (ψ 1(z2)−ψ 2(z2))−(ψ 1(z1)−ψ 2(z1)).
Exploiting Curvature in Online Convex Optimization with Delayed Feedback Then, we have ∥z1 −z 2∥2 A1 +∥z 1 −z 2∥2 A2 ≤ ⟨w1 −w 2, z2 −z 1⟩+ (ψ 1(z2)−ψ 2(z2))−(ψ 1(z1)−ψ 2(z1))
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:44:23.149799Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1b20db1c-f6e8-44ba-9482-13d0e2c5fbd3 · outbound
This paper cites (2024) only manage to show that this algorithm achieves regret O dmax(G2+D) λ lnT+ dmaxG λ2 under Theorems 2.3 and 2.4.
Exploiting Curvature in Online Convex Optimization with Delayed Feedback (2024) only manage to show that this algorithm achieves regret O dmax(G2+D) λ lnT+ dmaxG λ2 under Theorems 2.3 and 2.4
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:44:21.443288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0f96f2a1-ded3-40c3-a351-18a66e6ce974 · outbound
This paper cites Auxiliary results In this section, we show several auxiliary lemmas that will be helpful throughout the paper.
Exploiting Curvature in Online Convex Optimization with Delayed Feedback Auxiliary results In this section, we show several auxiliary lemmas that will be helpful throughout the paper
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:44:23.425124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation dbf27045-8175-452d-8d02-0383a6449862 · outbound
This paper cites linearized.
Exploiting Curvature in Online Convex Optimization with Delayed Feedback linearized
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:44:22.543668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a208cbd4-9d14-4806-9618-69f3f91441ec · outbound
This paper cites an unresolved cited work.
Exploiting Curvature in Online Convex Optimization with Delayed Feedback Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:44:22.259815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f6ee2427-0187-4112-a6f6-01ea86813fd3 · outbound
This paper cites an unresolved cited work.
Exploiting Curvature in Online Convex Optimization with Delayed Feedback Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:44:21.976958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 754b89ac-d03b-430a-9e16-a30685560360 · outbound
This paper cites (2024) in their Algorithm.
Exploiting Curvature in Online Convex Optimization with Delayed Feedback (2024) in their Algorithm
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:44:21.729051Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c36ab7d9-df93-4b51-b362-c7c0da227d26 · outbound
This paper cites linearized.
Exploiting Curvature in Online Convex Optimization with Delayed Feedback linearized
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:44:21.160631Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8d97a8af-e4ad-401d-a004-08ac3d01a08e · outbound
This paper cites an unresolved cited work.
Exploiting Curvature in Online Convex Optimization with Delayed Feedback Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:44:20.819718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 24fb4c5b-f296-402c-9c96-cd81e4150534 · outbound
This paper cites an unresolved cited work.
Exploiting Curvature in Online Convex Optimization with Delayed Feedback Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:44:20.458563Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c1012b3a-11be-4e18-ab8b-082f8aa83eaa · outbound
This paper cites Online sequential decision- making with unknown delays.
Exploiting Curvature in Online Convex Optimization with Delayed Feedback Online sequential decision- making with unknown delays
Reference 2002
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:44:25.718372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d08981c3-25e0-475e-a777-4155509a186c · outbound
This paper cites Online Learning: A Modern Introduction Using Convex Optimization.
Exploiting Curvature in Online Convex Optimization with Delayed Feedback Online Learning: A Modern Introduction Using Convex Optimization
Reference 2014
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:44:17.170340Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9db28651-0f50-4d2d-b115-adab9c9ac6fe · outbound
This paper cites Capacity-Constrained Online Learning with Delays: Scheduling Frameworks and Regret Trade-offs.
Exploiting Curvature in Online Convex Optimization with Delayed Feedback Capacity-Constrained Online Learning with Delays: Scheduling Frameworks and Regret Trade-offs
Reference 2015
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T05:44:19.811650Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 67fc87dd-5bd2-4527-8abc-7458b7e7ea52 · outbound
This paper cites Hazan, E., Agarwal, A., and Kale, S.
Exploiting Curvature in Online Convex Optimization with Delayed Feedback Hazan, E., Agarwal, A., and Kale, S
Reference 2016
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:44:16.803719Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d90a6d43-76a7-4f5b-a71d-7b6aa8319e5e · outbound
This paper cites and Cesa-Bianchi, N.
Exploiting Curvature in Online Convex Optimization with Delayed Feedback and Cesa-Bianchi, N
Reference 2020
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:44:26.028736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 97b806b2-0bf3-4f7e-bfba-43de7af28136 · outbound
This paper cites an unresolved cited work.
Exploiting Curvature in Online Convex Optimization with Delayed Feedback Unresolved cited work
Reference 2021
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:44:25.844092Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e6015c48-650e-44f3-a4e9-e0a3431cadb6 · outbound
This paper cites Slow Learners are Fast.
Exploiting Curvature in Online Convex Optimization with Delayed Feedback Slow Learners are Fast
Reference 2022
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T05:44:20.132117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3ca4441b-c43d-41a1-9cfa-23cc7b760bf8 · outbound
This paper cites Contextual Linear Bandits with Delay as Payoff.
Exploiting Curvature in Online Convex Optimization with Delayed Feedback Contextual Linear Bandits with Delay as Payoff
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:44:17.806672Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.